Low-Latency Developer

Position: Data Engineer III  Location: Seattle, WA 98121  Duration: 17 Months        Job Type: Contract          Work Type:  Onsite        Job Description:      The Infrastructure Automation team is responsible for delivering the software that powers our infrastructure.  Responsibilities  As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments.  You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data.  Design, build, and maintain scalable, reliable, and reusable data pipelines and infrastructure that support analytics, reporting, and strategic decision-making  You will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata, building reports and dashboards  You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.  Explore source systems, data flows, and business processes to uncover opportunities, ensure data accuracy and completeness, and drive improvements in data quality and usability.  Required Skills & Experience  7+ years of related experience.  Experience with data modeling, warehousing and building ETL pipelines  Strong experience with SQL  Experience in at least one modern scripting or programming language, such as Python, Java.  Strong analytical skills, with the ability to translate business requirements into technical data solutions.  Excellent communication skills, with the ability to collaborate across technical and business teams.  A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies.   Preferred  Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions  Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)  3+ years of reparation of data for direct use in visualization tools like Tableau experience  KPI: Meet requirements, how they action solutions, etc.:  Leadership Principles:   Deliver Results  Dive Deep  Top 3 must-have hard skills  Strong experience with SQL  Experience in at least one modern scripting or programming language, such as Python, Java.  Experience with data modeling, warehousing and building ETL pipelines 

We are seeking a highly skilled Payroll Technical Consultant with extensive experience in US Payroll. The ideal candidate will have a strong background in ABAP HR code development and a deep understanding of Core HR and Payroll modules. This role involves designing and developing custom HR-ABAP programs, working with PNP/PNPCE logical databases, and enhancing payroll processes. • Experience: 9-15 years in payroll technical consulting. • ABAP HR Development: Proficient in ABAP HR code development. • Custom Programs: Design and write HR-ABAP custom programs; modify standard programs as needed. • Database Programming: Experience with PNP/PNPCE logical databases and cluster programming for Core HR, payroll, and time management. • Core HR & Payroll Knowledge: In-depth knowledge of Core HR and Payroll modules, including schemas, functions, and operations. • HR Tables/Clusters: Familiarity with HR, Core HR, and Payroll tables/clusters; experience in developing reports/BDC in the HR module. • Payroll Processes: Strong experience in Core HR and payroll processes, including preparing payroll reports. • Reports & Interfaces: Design and develop reports, interfaces, info types, and enhancements. • Team Development: Guide and develop team members to enhance their technical capabilities and productivity. • Forms Experience: Hands-on experience with SMART forms and HR forms. • User Exits & BAPIs: Proficient in user exits, BADi, and BAPI. • OOPS Concept: Strong understanding of object-oriented programming concepts. • Technical Documentation: Experience in requirement gathering, designing technical documents, unit testing, and code review. • Qualifications: • Bachelor’s degree in computer science, Information Technology, or a related field. • Proven experience in payroll technical consulting with a focus on US Payroll. • Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills.

PLEASE FORWARD RESUME FOR CONSIDERATION Royalty Staffing is currently hiring Autonomous Vehicle Operator in San Francisco for our client who is a growing ride-share company. This is an excellent opportunity to be at the forefront of turning the company's vision into reality. We're looking for operators who are disciplined, team players, and believe in doing whatever it takes to accomplish the mission. Working as a VO will give you the opportunity to learn vehicle and personnel operations. You'll have a front-row seat to the operational complexities of realizing autonomous mobility and the chance to contribute to the future. We are currently hiring for multiple schedules, with bonus pay for weekend and night shifts with a start time of after 3pm (i.e. the weekend day shift offers an added 5% per hour and weekend night shift offers an added 10% per hour). Location – San Francisco, CA Work environment – Onsite/field Pay rate - 29.00 USD Per Hour Assignment duration – Ongoing contract SCHEDULE Hours: Day Shift: 5:45am-2:15pm, 6:45am-3:15pm, or 7:45am-4:15pm Night Shift: 1:45pm-10:15pm, 2:45pm-11:15pm, 3:45pm-12:15am, or 5:45pm-2am Days: Wednesday-Sunday Thursday-Monday Friday-Tuesday Saturday-Wednesday RESPONSIBILITIES Support vehicle operations. Drive 4-8 hours a day with a priority on safety. Conduct basic software operation tasks. Support missions through a wide variety of roles in and out of vehicles. Assist with documentation and metrics. Provide accurate written and oral feedback to engineering teams. Support vehicle maintenance and logistics. Conduct daily basic vehicle preventative maintenance checks, services, and repairs. Provide logistical support for the movement and storage of vehicles and equipment. Ensure the readiness and cleanliness of vehicles, equipment, and the workplace. Assist with paperwork and documentation related to vehicle readiness. REQUIREMENTS Basic vehicle knowledge to perform vehicle checks, ability to drive for long duration (6 hours in the car per day) Basic technology ability Excellent written and verbal communication skills Excellent driving history and no criminal history Proactive mindset and resourcefulness Bachelor's degree or equivalent technical experience is a plus BENEFITS Pre-tax commuter benefits Employer Subsidized healthcare benefits Flexible Spending Account for healthcare-related costs All costs for short- and long-term disability and life insurance 401k package

- Design, build, test, and deploy highly scalable customer facing RESTful APIs that can handle traffic and mobile apps - Collaborate with Product and Engineering leadership to translate business vision into technical design, code and test suite - Partner with other engineers to produce high quality software - Gain a broad understanding of the system/domain and upstream/downstream dependencies - Stay current on technologies and application development best practices Requirements - You have 8+ years of experience as a back-end developer building and deploying RESTful APIs and integrations using Java/Groovy, SpringBoot, Spock, JUnit, Gradle/Maven, SQL/NoSQL databases, MQ, Kafka, GIT - You have a solid understanding of RESTful APIs - You are an expert in building cloud-native applications - You are passionate about developing and maintaining high quality software - You understand how web sites and mobile apps interact with backend APIs - 3+ years working in an agile team - Understanding of CI/CD, Jenkins, JMeter/Gatling, WireMock - Atlassian software development and collaboration tools (BitBucket, Jira etc.)

About Us We’re a growing small business providing personalized IT support to clients across Rockland, Westchester, and New York City. Our mission is simple: solve problems thoroughly, patiently, and with dedication. We pride ourselves on being the trusted tech partner for individuals and small businesses alike. Role Overview We’re seeking a versatile and reliable IT Technician to provide software support across PC and Mac platforms. This role combines remote troubleshooting with onsite field visits, so a clean driver’s license and personal vehicle are essential. Responsibilities • Provide software support for both Windows and macOS environments • Troubleshoot and resolve client issues using AI tools and research as needed • Manage and respond to service requests via a work ticket system • Support and configure Microsoft Office 365 products, including Outlook, Word, Excel, and Teams • Assist with SharePoint and OneDrive setup, syncing, and permissions • Perform basic network troubleshooting and repair, especially for small Wi-Fi setups • Offer support for TV, streaming, and AV products when needed • Deliver remote and onsite support across our service area Requirements • Experience supporting PC and Mac platforms • Familiarity with Microsoft Office 365 suite and cloud services • Working knowledge of SharePoint and OneDrive on M365 • Strong troubleshooting skills with the ability to research and resolve issues independently • Basic networking skills, especially for small office/home Wi-Fi setups • Ability to use and manage a work ticket system • Clean driver’s license and reliable personal vehicle • Excellent communication, patience, and attention to detail • Commitment to solving client problems with care and professionalism ** Bonus Skills • Experience with AV setups, streaming devices, and smart TVs • Basic network wiring and crimping • Prior field service or remote support experience

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. This includes: Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Requirements BS/MS or Ph.D in computer science, electrical engineering or a related discipline. Strong programming skills in C/C++ or Python. Experience on model optimization, quantization or other efficient deep learning techniques Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. Experience with profiling, benchmarking and validating performance for complex computing architectures. Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. Strong communication skills and ability to work cross-functionally between software and hardware teams Preferred Qualifications: One or more of the following fields are preferred Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. Experience in computer vision, machine learning and deep learning. Strong knowledge of software design, programming techniques and algorithms. Good knowledge of common deep learning frameworks and libraries. Deep knowledge on system performance, GPU optimization or ML compiler. Compensation and Benefits Base Salary Range: $140,000 - $250,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks